Machine function analysis with radar plot
A system and method for detecting abnormal operating conditions in a machine through the analysis and comparison of radar areas after the transformation of waveform data collected from machine parts. An example embodiment is configured to: generate a monitoring signal in response to the behavior of a machine while the machine is in operation; simultaneously monitor two or more spectrums in the monitoring signal; collect data for two ore more spectrums at times when the machine is operating normally to establish an operational baseline of said machine; identify a respective energy level in each of the two or more spectrums; process waveform data corresponding to each of said identified energy levels into a Fast Fourier Transform radar plot; determine an area that corresponds to the FFT radar plot; correlate changes in the area of the FFT radar plot with changes in spectrum data and changes in the operation of the machine.
1. A method for identifying abnormal operation of a machine, said method comprising:
generating a monitoring signal in response to behavior of said machine while said machine is in operation;
simultaneously monitoring two or more spectrums in said monitoring signal;
collecting waveform data for two or more spectrums at times when said machine is operating normally to establish an operational baseline of said machine;
identifying a respective energy level in each of the two or more spectrums;
processing waveform data corresponding to each of said identified energy levels into a Fast Fourier Transform radar plot;
determining an area that corresponds to the Fast Fourier Transform radar plot;
correlating changes in said area of said Fast Fourier Transform radar plot with changes in spectrum data and changes in the operation of said machine.
2. The method of claim 1 , further including the step of displaying said Fast Fourier Transform radar plot as an optical expression selected from the group including a simple radar plot, a radar ripple plot, or a 3-dimensional radar plot.
3. The method of claim 1 , wherein an increase in the area of the smart region of the Fast Fourier Transform radar plot over time corresponds to an abnormal operating condition of said machine.
4. The method of claim 1 , wherein the Fast Fourier Transform radar area includes at least two alarm limits that correspond to at least one operating state of said machine.
5. The method of claim 4 , wherein said alarm limits adapt to a specific machine part.
6. The method of claim 4 , wherein variations in baseline waveform data establish at least two alarm limits.